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相关概念视频

Cooperative Allosteric Transitions01:58

Cooperative Allosteric Transitions

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Cooperative allosteric transitions can occur in multimeric proteins, where each subunit of the protein has its own ligand-binding site. When a ligand binds to any of these subunits, it triggers a conformational change that affects the binding sites in the other subunits; this can change the affinity of the other sites for their respective ligands. The ability of the protein to change the shape of its binding site is attributed to the presence of a mix of flexible and stable segments in the...
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Protein Folding01:22

Protein Folding

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Overview
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Protein Complexes with Interchangeable Parts01:57

Protein Complexes with Interchangeable Parts

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Groups of proteins may form a complex where each protein in this complex has a different role in the overall execution of the complex’s function. Often some of the proteins in the complex can be replaced by a closely related variant to give a complex that contains many of the same components yet is functionally distinct.
The SCF ubiquitin ligase is a protein complex of five individual proteins. This complex attaches ubiquitin to other target proteins to mark them for degradation. In order...
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相关实验视频

Updated: Jun 11, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction
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揭开AlphaFold,将实验和预测集成到多重复合体中.

Claudio Mirabello1, Björn Wallner2, Björn Nystedt3

  • 1Dept of Physics, Chemistry and Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Linköping University, 581 83, Linköping, Sweden. claudio.mirabello@scilifelab.se.

Nature communications
|October 8, 2024
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概括

AF_unmasked集成实验数据,以改善对大型复合体的蛋白质结构预测. 这种方法提高了准确性,即使具有有限的进化信息或不完美的起始结构,也有助于解释实验发现.

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Combining Chemical Cross-linking and Mass Spectrometry of Intact Protein Complexes to Study the Architecture of Multi-subunit Protein Assemblies
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相关实验视频

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科学领域:

  • 结构生物学是结构生物学.
  • 计算生物学是一种计算生物学.
  • 生物物理学的生物物理.

背景情况:

  • 阿尔法具有先进的蛋白质结构预测,特别是对于多重蛋白质,如CASP15.15所示.
  • 预测大型蛋白质复合体和将实验数据集成到预测管道中仍然存在局限性.

研究的目的:

  • 介绍AF_unmasked,一种新的方法来克服预测大型蛋白质复合物的局限性.
  • 为了使实验数据的整合更有信心和准确的结构预测.

主要方法:

  • 开发AF_unmasked用于将实验信息集成到蛋白质结构预测中.
  • 应用AF_unmasked用于预测大型或困难的蛋白质组合以及用于结构涂料.

主要成果:

  • AF_unmasked通过整合实验数据,成功地通过高可靠性构建了大型蛋白质组.
  • 高质量的结构 (DockQ分数>0.8) 被生成,即使有稀缺的进化信息或不完美的实验输入.
  • 这种方法有效地执行结构性染色,可能提供对蛋白质动态的见解.

结论:

  • AF_unmasked提供了一种高效和用户友好的方法,可以更高的信心地预测大型蛋白质复合体.
  • 该方法有效地增强和解释实验数据,推进结构生物学研究.